At a Glance
- Tasks: Design and implement AI automation solutions to enhance internal workflows.
- Company: Join Mintel, the leading market intelligence agency with a focus on technology.
- Benefits: Flexible working, generous holiday allowance, and personal development opportunities.
- Other info: Enjoy a collaborative culture with remote work options and support for mental wellbeing.
- Why this job: Be part of a dynamic team creating impactful AI solutions that drive business success.
- Qualifications: Experience in agentic AI development and full-stack web technologies.
The predicted salary is between 60000 - 80000 £ per year.
We’re looking for an Agentic AI engineer to join our AI Automation team, building internal AI-Automation applications. We create agentic solutions that help our internal users automate routine execution with AI, allowing them to focus more on tackling complex and high-level challenges, thus delivering more value to more clients. Your focus will mainly be on designing and deploying the agentic LLM orchestration of our solutions. Hands-on experience with full-stack web development and DevOps is a plus. The successful candidate will play a key role in building smarter, more efficient, and more reliable systems.
Why join Mintel? We are the world's leading market intelligence agency and technology underpins our success. We help our clients understand consumers and consumer markets, and we aspire to provide the market intelligence behind every great business decision. Our technology allows us to deliver data, insights, and opinions in a compelling way to our clients across the globe. Mintel is committed to building and supporting a diverse workforce, providing opportunities for all. 22% of our Engineering team and 23% of our Engineering leaders are women. We offer flexible working options and provide support, development and growth opportunities. We support a Hybrid working approach. Most of our colleagues work 1-2 days a week in our London office and the rest of the week remotely.
What You Will Do:
- Design and implement stateful agentic workflows (using agentic frameworks like LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, MCP or custom Python/TypeScript solutions) that can plan, execute and self-correct.
- Develop robust integration layers that allow the LLM to interact with our internal APIs, databases, and third-party tools reliably.
- Develop and architect advanced RAG (Retrieval-Augmented Generation) systems with our knowledge base.
- Collaborate in a dynamic Agile team, working closely with business stakeholders to understand needs and deliver solutions.
- Contribute to the team’s sprint goals, solving technical challenges both independently and through pair programming with your colleagues, while also collaborating with Engineers and Architects from other teams from time to time.
- Help your team to deliver high quality, reliable software via our code review and QA practices and contribute to the evolution of these over time.
- Make your voice heard when we’re discussing implementation trade-offs within the team or technical solution possibilities with our stakeholders.
What We Are Looking For:
- Developers who have hands-on experience with agentic AI development (LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, MCP).
- Hands-on experience with Vector Databases & RAG (Snowflake, Azure AI search).
- Your solution will be integrated with the work of your full stack developer teammates. Hence, understanding (hands-on experience is a plus) of full stack development, front-end (React and TypeScript) back-end (Python with FastAPI or Django and SQL), security, and APIs is necessary.
- Applicants who are keen to contribute to both new feature development and system reliability and performance improvements.
- Basic understanding of DevOps with AWS and Azure is mandatory, hands-on experience is a plus.
- Hands-on experience with Agentic AI.
- Familiarity with building applications that utilise generative AI is nice to have.
- Quick learners who can adapt to new domains and technologies, continuously enhancing their skillset.
- Able to communicate technical concepts to diverse business stakeholders without losing essential context or relying on jargon.
- Ability to receive and implement feedback constructively.
We hope you’ll like our...
- Culture that supports true collaboration whilst embracing remote working. We measure success by the quality of your deliverables and the problems you solve, not the hours you spend at your desk.
- Generous holiday allowance with the opportunity to buy additional holiday.
- Approach to personal development where we encourage individuals to grow and share what they’ve learned.
- Flexible start times and end times.
- Membership in Employee Resource Groups (Mintel Diversity, Mintel Wellness, and Mintel Gives).
- Additional one day off to celebrate your birthday.
- Giving back is part of our culture with this in mind, Mintel gives employees 2 days' leave per year to join local volunteering activities organised by our Mintel Gives (where applicable).
- Frequent social events, both within the department and across the company.
- Blend of home and office working (1-2 days in the office).
- Mental health and wellbeing support via Modern Health App.
Agentic AI Engineer, AI Automation employer: Mintel
Mintel is an exceptional employer, offering a dynamic work culture that prioritises collaboration and flexibility, allowing employees to thrive in both remote and office settings. With a strong commitment to diversity and personal development, employees benefit from generous holiday allowances, opportunities for growth, and a supportive environment that encourages innovation in AI technology. Join us in London to be part of a leading market intelligence agency where your contributions directly impact the success of our clients and the future of AI automation.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic AI Engineer, AI Automation
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at Mintel. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub with projects related to agentic AI or full-stack development, make sure to highlight that in conversations. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on Agile methodologies and how they apply to AI development. Be ready to discuss how you’ve tackled technical challenges in the past and how you can contribute to the team’s sprint goals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our awesome team at Mintel.
We think you need these skills to ace Agentic AI Engineer, AI Automation
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Agentic AI Engineer role. Highlight your experience with agentic AI development and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Mention your hands-on experience with full-stack development, DevOps, and any specific frameworks or tools like LangGraph or OpenAI Agents SDK. This is your chance to shine!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your experiences and achievements. We appreciate clarity and want to understand your journey without sifting through jargon.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team at Mintel!
How to prepare for a job interview at Mintel
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like LangGraph, AutoGen, and RAG systems. Brush up on your full-stack development skills, especially with Python and TypeScript, as well as your understanding of DevOps practices. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled technical challenges, particularly in an Agile environment. Think about how you’ve collaborated with stakeholders to deliver solutions and be ready to share your thought process during these experiences. This will demonstrate your ability to contribute effectively to the team.
✨Communicate Clearly and Effectively
Practice explaining complex technical concepts in simple terms. You’ll need to communicate with diverse business stakeholders, so being able to break down jargon into understandable language is key. Consider role-playing with a friend to refine your communication style before the interview.
✨Embrace Feedback and Adaptability
Be prepared to discuss how you handle feedback and adapt to new technologies or domains. Share examples of how you’ve implemented constructive criticism in past projects. This shows that you’re not just a tech whiz but also a team player who values growth and collaboration.